Holland Colours N.V (HOLCO) Fair Value & Analysis
Basic Materials · NL · Market cap €75.7M
Fair value as of: Jun 24, 2026
Analysis
Holland Colours N.V (HOLCO) currently trades at €85.50, while our model-based Fair Value estimate is €55.44 — implying the stock looks roughly 35.2% overvalued today. We read business quality at 97/100 (high quality), in the Basic Materials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
Holland Colours N.V., together with its subsidiaries, engages in the manufacturing, distribution, and sales of color concentrates in Europe, the Middle East, India, Africa, the United States, Asia, and internationally. The company offers colorants for the building and construction industry, including profiles, pipes, tubing and fittings, siding and cladding, decking, fencing, window blinds, and insulation, as well as solutions for a range of polymers. It also provides colorants for packaging applications comprising water, carbonated soft drinks, fruit juices, dairy, beer, wine, detergents, pharmaceutical, and personal care products. In addition, the company offers coatings, sealants, or adhesives; and colorants for other applications, such as shopping bags, polybags, mulch films, OPP tapes, PU flexible foams, synthetic leather, fiber glass and buttons, paving blocks, artificial stones, cast PMMA, PP non-woven and spunbond, coatings, flexible PVCs, prosthetics, glass fiber reinforced…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.